Type 2 diabetes mellitus (T2DM) impairs bone strength and is a significant risk factor for hip fracture, yet currently there is no reliable tool to assess this risk. Most risk stratification methods rely on bone mineral density, which is not impaired by diabetes, rendering current tests ineffective. CT-based finite element analysis (CTFEA) calculates the mechanical response of bone to load and uses the yield strain, which is reduced in T2DM patients, to measure bone strength. The purpose of this feasibility study was to examine whether CTFEA could be used to assess the hip fracture risk for T2DM patients. A retrospective cohort study was undertaken using autonomous CTFEA performed on existing abdominal or pelvic CT data comparing two groups of T2DM patients: a study group of 27 patients who had sustained a hip fracture within the year following the CT scan and a control group of 24 patients who did not have a hip fracture within one year. The main outcome of the CTFEA is a novel measure of hip bone strength termed the Hip Strength Score (HSS).Aims
Methods
To develop and externally validate a parsimonious statistical prediction model of 90-day mortality after elective total hip arthroplasty (THA), and to provide a web calculator for clinical usage. We included 53,099 patients with cemented THA due to osteoarthritis from the Swedish Hip Arthroplasty Registry for model derivation and internal validation, as well as 125,428 patients from England and Wales recorded in the National Joint Register for England, Wales, Northern Ireland, the Isle of Man, and the States of Guernsey (NJR) for external model validation. A model was developed using a bootstrap ranking procedure with a least absolute shrinkage and selection operator (LASSO) logistic regression model combined with piecewise linear regression. Discriminative ability was evaluated by the area under the receiver operating characteristic curve (AUC). Calibration belt plots were used to assess model calibration.Aims
Methods
Our aim was to examine the Elixhauser and Charlson comorbidity indices, based on administrative data available before surgery, and to establish their predictive value for mortality for patients who underwent hip arthroplasty in the management of a femoral neck fracture. We analyzed data from 42 354 patients from the Swedish Hip Arthroplasty Register between 2005 and 2012. Only the first operated hip was included for patients with bilateral arthroplasty. We obtained comorbidity data by linkage from the Swedish National Patient Register, as well as death dates from the national population register. We used univariable Cox regression models to predict mortality based on the comorbidity indices, as well as multivariable regression with age and gender. Predictive power was evaluated by a concordance index, ranging from 0.5 to 1 (with the higher value being the better predictive power). A concordance index less than 0.7 was considered poor. We used bootstrapping for internal validation of the results.Aims
Patients and Methods
Many case reports and small studies have suggested that cobalt
ions are a potential cause of cardiac complications, specifically
cardiomyopathy, after metal-on-metal (MoM) total hip arthroplasty
(THA). The impact of metal ions on the incidence of cardiac disease
after MoM THA has not been evaluated in large studies. The aim of
this study was to compare the rate of onset of new cardiac symptoms
in patients who have undergone MoM THA with those who have undergone
metal-on-polyethylene (MoP) THA. Data were extracted from the Standard Analytics Files database
for patients who underwent MoM THA between 2005 and 2012. Bearing
surface was selected using International Classification of Diseases
ninth revision codes. Patients with a minimum five-year follow-up
were selected. An age and gender-matched cohort of patients who underwent
MoP THA served as a comparison group. New diagnoses of cardiac disease
were collected during the follow-up period. Comorbidities and demographics
were identified and routine descriptive statistics were used.Aims
Patients and Methods
Total hip replacement causes a short-term increase
in the risk of mortality. It is important to quantify this and to identify
modifiable risk factors so that the risk of post-operative mortality
can be minimised. We performed a systematic review and critical
evaluation of the current literature on the topic. We identified
32 studies published over the last 10 years which provide either
30-day or 90-day mortality data. We estimate the pooled incidence
of mortality during the first 30 and 90 days following hip replacement
to be 0.30% (95% CI 0.22 to 0.38) and 0.65% (95% CI 0.50 to 0.81),
respectively. We found strong evidence of a temporal trend towards
reducing mortality rates despite increasingly co-morbid patients.
The risk factors for early mortality most commonly identified are
increasing age, male gender and co-morbid conditions, particularly
cardiovascular disease. Cardiovascular complications appear to have
overtaken fatal pulmonary emboli as the leading cause of death after
hip replacement. Cite this article:
We have evaluated the extent to which diabetes affects the revision rate following total hip replacement (THR). Through the Danish Hip Arthroplasty Registry we identified all patients undergoing a primary THR (n = 57 575) between 1 January 1996 and 31 December 2005, of whom 3278 had diabetes. The presence of diabetes among these patients was identified through the Danish National Registry of Patients and the Danish National Drug Prescription Database. We estimated the relative risk for revision and the 95% confidence intervals for patients with diabetes compared to those without, adjusting for the confounding factors. Diabetes is associated with an increased risk of revision due to deep infection (relative risk = 1.45 (95% confidence interval 1.00 to 2.09), particularly in those with type 2 diabetes (relative risk = 1.49 (95% confidence interval 1.02 to 2.18)), those with diabetes for less than five years prior to THR (relative risk = 1.69 (95% confidence interval 1.24 to 2.32)), those with complications due to diabetes (relative risk = 2.11 (95% confidence interval 1.41 to 3.17)), and those with cardiovascular comorbidities prior to surgery (relative risk = 2.35 (95% confidence interval 1.39 to 3.98)). Patients and surgeons should be aware of the relatively elevated risk of revision due to deep infection following THR in diabetes particularly in those with insufficient control of their glucose level.
